EP 3259881 B1 20200205 - ADAPTIVE, ANOMALY DETECTION BASED PREDICTOR FOR NETWORK TIME SERIES DATA
Title (en)
ADAPTIVE, ANOMALY DETECTION BASED PREDICTOR FOR NETWORK TIME SERIES DATA
Title (de)
ADAPTIVER, AUF ANOMALIEDETEKTION BASIERENDER PRÄDIKTOR FÜR ZEITSERIENDATEN EINES NETZWERKS
Title (fr)
PRÉDICTEUR ADAPTATIF BASÉ SUR UNE DÉTECTION D'ANOMALIE DE DONNÉES CHRONOLOGIQUES DE RÉSEAU
Publication
Application
Priority
- US 201562137669 P 20150324
- US 201615077762 A 20160322
- CN 2016077221 W 20160324
Abstract (en)
[origin: US2016285700A1] System and method embodiments are provided for adaptive anomaly detection based predictor for network data. In an embodiment, a computer-implemented method in a network component for predicting values of future network time series data includes receiving, with one or more receivers, network time series data; determining, with one or more processors, whether an anomaly is detected in the network time series data; generating, with the one or more processors, a prediction associated with the network data according to a primary predictor when no anomaly is detected in the network time series data; generating, with the one or more processors, the prediction associated with the network data according to an alternative predictor when an anomaly in the network time series data is detected; and sending, with one or more transmitters, the prediction to a network controller, wherein the network controller uses the prediction to adjust network parameters.
IPC 8 full level
G06N 7/00 (2006.01); H04L 12/24 (2006.01); H04L 12/26 (2006.01); H04W 24/02 (2009.01)
CPC (source: EP US)
G06N 5/04 (2013.01 - US); G06N 7/01 (2023.01 - EP US); G06N 20/00 (2018.12 - US); H04L 41/0823 (2013.01 - EP US); H04L 41/142 (2013.01 - EP US); H04L 41/147 (2013.01 - EP US); H04L 41/149 (2022.05 - EP); H04L 41/16 (2013.01 - EP US)
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
DOCDB simple family (publication)
US 10911318 B2 20210202; US 2016285700 A1 20160929; CN 107409075 A 20171128; CN 107409075 B 20200616; EP 3259881 A1 20171227; EP 3259881 A4 20180314; EP 3259881 B1 20200205; WO 2016150395 A1 20160929
DOCDB simple family (application)
US 201615077762 A 20160322; CN 2016077221 W 20160324; CN 201680015879 A 20160324; EP 16767772 A 20160324